Crop yield can be maximized when the best genetic variety and most effective crop management practices are used for cultivation. Scientists have developed various machine learning models to predict ...

A pioneering study introduces a functional data analysis (FDA) methodology to model the relationship between environmental factors and crop yields in year-round agriculture. Designed for crops like ...

An increased frequency of extreme precipitation events has been observed over the last 100 years in the United States. Global climate models project that similar trends may continue and even ...

While farmers have cultivated crops for millennia using intuition and experience, today's agriculture increasingly relies on data-driven approaches to maximize yields while minimizing environmental ...

Model transfer provides a solution for crop classification in unlabeled areas. However spectral discrepancies in satellite images, caused by varying climatic conditions across regions, pose ...

With climate change and growing global populations posing increasing threats to food security, the quest for agricultural sustainability and the resilience of crop yields becomes paramount. Current ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.

Boston, Nov. 04, 2019 (GLOBE NEWSWIRE) -- Catastrophe risk modeling firm AIR Worldwide (AIR) today announced that it has released a Multiple Peril Crop Insurance (MPCI) Model for India to help support ...

The Earth is heating up. The effects of human-caused global climate change are becoming more and more apparent as we see more record-breaking heat waves, intense droughts, shifts in rainfall patterns ...